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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 The Usefulness of Imperfect Speech Data for ASR Development in Low-Resource Languages Jaco Badenhorst; Febe de Wet In: Information ; Volume 10 ; Issue 9 (2019) BASE Show details 2 Afrikaans and Dutch as closely-related languages: A comparison to West Germanic languages and Dutch dialects Wilbert Heeringa; Febe de Wet; Gerhard B. van Huyssteen In: Stellenbosch Papers in Linguistics Plus, Vol 47, Iss 0, Pp 1-18 (2015) (2015) BASE Show details 3 Speech data collection in an under-resourced language within a multilingual context,” in SLTU. Raymond Molapo; Etienne Barnard; Febe De Wet In: http://mica.edu.vn/sltu2014/proceedings/35.pdf (2014) BASE Show details 4 Comparing classifiers for pronunciation error detection Helmer Strik; Khiet Truong; Febe De Wet... In: http://academic.sun.ac.za/su_clast/documents/interspeech_2007_strik.pdf (2007) BASE Show details 5 Nguni and Sotho varieties of South African English- distant cousins or twins? Stellenbosch South Africa; Febe De Wet; Thomas Niesler In: http://isca-speech.org/archive_open/archive_papers/ml06/ml06_009.pdf (2006) BASE Show details 6 Evaluation Of Formant-Like Features Forasr Katrin Weber; Febe de Wet; Bert Cranen... In: http://lands.let.kun.nl/literature/dewet.2002.1.ps (2002) BASE Show details 7 Using likelihood ratios to perform utterance verification in automatic pronunciation assessment Febe De Wet; Catia Cucchiarini; Helmer Strik... In: http://lands.let.ru.nl/TSpublic/strik/publications/a63.pdf (1999) BASE Show details 8 Using Likelihood Ratios To Perform Utterance Verification In Automatic Pronunciation Assessment Febe de Wet; Catia Cucchiarini; Helmer Strik... In: http://lands.let.kun.nl/literature/dewet.1999.1.ps (1999) BASE Show details 9 Automatic detection of frequent pronunciation errors made by L2-learners Khiet Truong; Ambra Neri; Febe De Wet... In: http://lands.let.kun.nl/literature/truong.2005.1.pdf BASE Show details 10 The Speect text-to-speech system entry for the Blizzard Challenge 2013 Johannes A. Louw; Georg I. Schlünz; Willem Van Der Walt... In: http://www.festvox.org/blizzard/bc2013/MERAKA_Blizzard2013.pdf BASE Show details 11 Automatic large-scale oral language proficiency assessment Febe De Wet; Christa Van Der Walt; Thomas Niesler In: http://academic.sun.ac.za/su_clast/documents/interspeech_2007_dewet.pdf BASE Show details 12 Wet, “The origin of Afrikaans pronunciation: a comparison to west Germanic languages and Dutch dialects Wilbert Heeringa; Febe De Wet In: http://www.prasa.org/proceedings/2008/prasa08-22.pdf BASE Show details 13 The origin of Afrikaans pronunciation: a comparison to west Germanic languages and Dutch dialects Wilbert Heeringa; Febe De Wet In: http://www.let.rug.nl/%7Eheeringa/dialectology/papers/prasa08.pdf Abstract: This paper aims to find the origin of the Afrikaans pronunciation with the use of dialectometry. First, Afrikaans was compared to Standard Dutch, Standard Frisian and Standard German. Pronunciation distances were measured by means of Levenshtein distances. Afrikaans was found to be closest to Standard Dutch. Second, the Afrikaans pronunciation was compared to 361 Dutch dialect varieties in the Netherlands and North-Belgium. Material from the Reeks Nederlandse Dialectatlassen was used. Afrikaans was found to be closest to the South Holland variety of Zoetermeer, which largely agrees with Kloeke (1950, Herkomst en Groei van het Afrikaans). 1. URL: http://www.let.rug.nl/%7Eheeringa/dialectology/papers/prasa08.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.5044 BASE Hide details

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